---
title: "XLSXToDocument"
id: xlsxtodocument
slug: "/xlsxtodocument"
description: "Converts Excel files into documents."
---

# XLSXToDocument

Converts Excel files into documents.

|                                        |                                                                                                |
| :------------------------------------- | :--------------------------------------------------------------------------------------------- |
| **Most common position in a pipeline** | Before [PreProcessors](../preprocessors.mdx)  or right at the beginning of an indexing pipeline |
| **Mandatory run variables**            | "sources":  File paths or [`ByteStream`](../../concepts/data-classes.mdx#bytestream)  objects               |
| **Output variables**                   | "documents": A list of documents                                                               |
| **API reference**                      | [Converters](/reference/converters-api)                                                               |
| **GitHub link**                        | https://github.com/deepset-ai/haystack/blob/main/haystack/components/converters/xlsx.py      |

## Overview

The `XLSXToDocument` component converts XLSX files into Haystack Documents with a CSV (default) or Markdown format. It takes a list of file paths or [`ByteStream`](../../concepts/data-classes.mdx#bytestream) objects as input and outputs the converted result as a list of documents.  Optionally, you can attach metadata to the documents through the `meta` input parameter.

To see the additional parameters that you can specify with the component initialization, check out the [API Reference](/reference/converters-api#xlsxtodocument).

## Usage

First, install the openpyxl and tabulate packages to start using this converter:

```shell
pip install pandas openpyxl
pip install tabulate
```

### On its own

```python
from haystack.components.converters import XLSXToDocument

converter = XLSXToDocument()
results = converter.run(sources=["sample.xlsx"], meta={"date_added": datetime.now().isoformat()})
documents = results["documents"]
print(documents[0].content)
## ",A,B\n1,col_a,col_b\n2,1.5,test\n"
```

### In a pipeline

```python
from haystack import Pipeline
from haystack.document_stores.in_memory import InMemoryDocumentStore
from haystack.components.converters import XLSXToDocument
from haystack.components.preprocessors import DocumentCleaner
from haystack.components.preprocessors import DocumentSplitter
from haystack.components.writers import DocumentWriter

document_store = InMemoryDocumentStore()

pipeline = Pipeline()
pipeline.add_component("converter", XLSXToDocument())
pipeline.add_component("cleaner", DocumentCleaner())
pipeline.add_component("splitter", DocumentSplitter(split_by="sentence", split_length=5))
pipeline.add_component("writer", DocumentWriter(document_store=document_store))
pipeline.connect("converter", "cleaner")
pipeline.connect("cleaner", "splitter")
pipeline.connect("splitter", "writer")

pipeline.run({"converter": {"sources": file_names}})
```
